SOTAVerified

3D Reconstruction

3D Reconstruction is the task of creating a 3D model or representation of an object or scene from 2D images or other data sources. The goal of 3D reconstruction is to create a virtual representation of an object or scene that can be used for a variety of purposes, such as visualization, animation, simulation, and analysis. It can be used in fields such as computer vision, robotics, and virtual reality.

Image: Gwak et al

Papers

Showing 14011425 of 2326 papers

TitleStatusHype
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis0
MonoTrack: Shuttle trajectory reconstruction from monocular badminton video0
BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume FusionCode1
Online panoptic 3D reconstruction as a Linear Assignment ProblemCode1
A Temporal Learning Approach to Inpainting Endoscopic Specularities and Its effect on Image Correspondence0
FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions0
RFNet-4D++: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds with Cross-Attention Spatio-Temporal FeaturesCode1
3D Shape Reconstruction from 2D Images with Disentangled Attribute FlowCode1
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian0
Towards Learning Neural Representations from Shadows0
DeepShadow: Neural Shape from ShadowCode1
RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers0
A Real World Dataset for Multi-view 3D Reconstruction0
φ-SfT: Shape-from-Template with a Physics-Based Deformation ModelCode1
PlaneMVS: 3D Plane Reconstruction from Multi-View StereoCode1
NeRFusion: Fusing Radiance Fields for Large-Scale Scene ReconstructionCode2
DiFT: Differentiable Differential Feature Transform for Multi-View Stereo0
OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D ReconstructionCode2
VPFusion: Joint 3D Volume and Pixel-Aligned Feature Fusion for Single and Multi-view 3D Reconstruction0
Multi-sensor large-scale dataset for multi-view 3D reconstructionCode1
Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers0
Human-Aware Object Placement for Visual Environment ReconstructionCode1
Highly Accurate Dichotomous Image SegmentationCode4
Addressing the Shape-Radiance Ambiguity in View-Dependent Radiance Fields0
Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D ReconstructionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63Unverified
2GipumaOverall0.58Unverified
3COLMAPOverall0.53Unverified
4MVSNetOverall0.46Unverified
5Vis-MVSNetOverall0.37Unverified
6AA-RMVSNetOverall0.36Unverified
7Cas-MVSNetOverall0.36Unverified
8EPP-MVSNetOverall0.36Unverified
9PatchmatchNetOverall0.35Unverified
10CVP-MVSNetOverall0.35Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8Unverified
2POCOIoU92.6Unverified
3FS-SDFIoU91.2Unverified
4DP-ConvONetIoU89.5Unverified
5ConvONetIoU88.4Unverified
6ONetIoU76.1Unverified
7EVolTIoU73.8Unverified
8ZubicLioIoU65.43Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64Unverified
2PSGN3DIoU0.64Unverified
3OGN3DIoU0.6Unverified
43D-R2N23DIoU0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68Unverified
23DMatchAverage Accuracy10.29Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4Unverified